First CASSANDRA Webinar - Explanation and demonstration of CASSANDRA Modeling Platform by Christos Diou, Postdoctoral Research Associate at Centre for Research and Technology Hellas ITI - CERTH
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First CASSANDRA Webinar - Explanation and demonstration of CASSANDRA Modeling Platform by Christos Diou, Postdoctoral Research Associate at Centre for Research and Technology Hellas ITI - CERTH
2. Cassandra platform – Christos Diou
Outline
• Library-based scenarios in the alpha platform version
– Use pre-existing library components
• Measurement-based scenarios
– Model training to build models automatically
• Response models
– Consumer response to different incentives
• Consumer Social Network analysis
– Grouping of small-scale consumers into Consumer Social Networks
• Development status and next steps
• NoI members and the platform
Cassandra 1st Webinar 2
3. Cassandra platform – Christos Diou
About the platform
• Currently in alpha version, development is highly active
– Some functionality has not been integrated yet
• Open source platform, publicly available through GitHub
– Apache license
• Your feedback is highly appreciated!
Cassandra 1st Webinar 3
20. Cassandra platform – Christos Diou
What if…
• The residents of Apartment 1 use the water heater less
– Because they have installed solar water heating
• The residents of Apartment 2 use their air conditioning unit less
– Because they have upgraded their apartment’s thermal insulation
properties
• The residents of Apartment 3 replace their refrigeration unit
Cassandra 1st Webinar 20
30. Cassandra platform – Christos Diou
One step further
• Library-based scenarios can be used to simulate working
hypotheses
• The real power of Cassandra is in its disaggregation and model
training functionality
Cassandra 1st Webinar 30
51. Cassandra platform – Christos Diou
CSNs
• Groups of similar consumers
– Multiple similarity criteria
• CSNs have potential:
– Increased market power of aggregated small-scale consumers
– Coordination of consumption activities at group level
– Targeted incentives at group level
52. Cassandra platform – Christos Diou
CSN module
• CSN module: A tool for identifying links and grouping of
consumers in a meaningful way
– Existing social network connections
– Explicit attributes (e.g. working, non-working person, locality in the grid
topology)
– Implicit attributes (e.g. consumption similarity, peak similarity, behavioural
similarity)
• Early version implemented for experimentation
• Next version:
– More similarity criteria
– Estimation of group response to incentives
– GUI integration
Cassandra 1st Webinar 54
67. Various statistics are
available, as well as the
consumption and information
of selected nodes
Sliders for minimum edge
weight and clustering values
68. Cassandra platform – Christos Diou
In summary, with Cassandra you can
• Simulate working scenarios/pilots
• Benchmark different energy efficiency solutions/products in
simulation before testing them in real-life
• Create detailed models that describe consumer behaviour
• Identify and evaluate optimal consumption schedules
• Estimate consumer response to a range of incentives
– Pricing schemes
– Consumer awareness
– Environmental impact
• Identify meaningful consumer groups and benchmark the
application of targeted incentives
69. Cassandra platform – Christos Diou
So, what’s next?
• Beta release is planned for October, 2013
• Integration of external modules with the platform
• Evaluation of Cassandra in our three project pilot cases
• Evaluation of Cassandra in a limited number of NoI pilots
(external evaluation)
• We can use Cassandra to simulate your context and benchmark
a number of working scenarios.
– Use measurements and the training module to model your context
– Simulate a range of scenarios appropriate for your business case
– Prepare an analysis/report of our findings
– Ask for your feedback
– Improve the platform based on your comments